Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Software defines a critical part of our society’s digitalization. Within the Software Engineering and Education (SEE) research group, we expand the research front on processes, methods, and tools
-
The PhD student will join a world-leading research environment at the Chalmers Security and Privacy Lab . Software is often the root cause of vulnerabilities in modern computing systems. We develop
-
application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
-
application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
-
for archiving, indexing and visualization. Our hardware encompasses CPU and GPU-nodes, and software will be designed for both multithreading and horizontal scaling. The PhD student will become part of
-
engineering. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines . Application The application should contain: A cover
-
11 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Mathematics
-
Software Program, Sweden's largest individual research program ever---, and one leading to a joint degree in KTH Royal Institute of Technology (Sweden) and Nanyang Technological University Singapore
-
10 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Mathematics
-
application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning